Senior .Net Full Stack DeveloperSenior

At LPL’s Global Capability Center, you'll find a collaborative culture where your voice matters, integrity guides every decision, and technology fuels progress. Your skills, talents, and ideas will redefine what's possible. LPL's success reflects its exceptional employees, who together pursue one noble purpose: empowering financial advisors to deliver personalized advice for all who need it. We’re proud to be expanding and reaching new heights in Hyderabad.

Join us as we create something extraordinary together.

What if you could build a career where ambition meets innovation?

At LPL Financial, we empower professionals to shape their success while helping clients pursue their financial goals with confidence. What if

you could have access to cutting-edge resources, a collaborative environment, and the freedom to make an impact? If you're ready to take

the next step, discover what’s possible with LPL Financial.

Job Overview:

We are seeking a Senior Full Stack Engineer to support the operation, maintenance, modernization, and AI‑enabled evolution of legacy and

business‑critical applications across the Business Solutions Technology organization. This role focuses on improving system stability,

reducing technical debt, modernizing applications, and driving efficiency through intelligent automation and AI‑assisted engineering methods.

You will collaborate with architects, SRE, QA, and business partners to troubleshoot issues, deliver enhancements, strengthen platform

reliability, and support cloud‑ready modernization. The role requires hands‑on engineering expertise, the ability to work across a mix of

modern and legacy platforms, and openness to leveraging AI and generative tools to accelerate delivery and improve code quality.

Responsibilities:

Operate, maintain, enhance, and stabilize legacy and modern applications across Business Solutions.

Lead foundational upgrades (framework updates, infrastructure refreshes, security patching, performance improvements).

Modernize legacy systems using cloud‑ready patterns, microservices, and API‑driven designs.

Use AI‑assisted development tools (e.g., GitHub Copilot, code‑generation frameworks, intelligent automation) to accelerate modernization

and improve engineering quality.

Apply AI‑driven monitoring and observability insights to reduce incidents, identify trends, and improve reliability.

Perform advanced troubleshooting, triage, root‑cause analysis, and incident resolution.

Participate in architecture/design reviews and ensure modernization & AI‑assisted practices are represented in solution planning.

Estimate engineering effort for enhancements, upgrades, and technical debt remediation.

Maintain high‑quality technical documentation and run‑books.

Collaborate with SRE to improve monitoring, alerting, resiliency, and automation‑driven run‑time operations

What Are We Looking For?

We’re looking for a hands‑on engineer who thrives in complex legacy environments, champions modernization, and embraces AI‑enabled

engineering to drive efficiency and resilience. Ideal candidates demonstrate ownership, technical depth, and the ability to deliver durable,

maintainable solutions.

Requirements:

6+ years of full stack development experience with .NET, Angular, REST APIs, and relational databases.

Strong experience supporting and modernizing legacy enterprise applications.

6+ years with enterprise design processes (sequence/activity diagrams, architecture reviews).

6+ years building APIs and microservices using cloud-native or cloud‑ready patterns.

5+ years of relational/nonrelational database experience (SQL Server, PostgreSQL, DynamoDB, DocumentDB).

3+ years hands‑on AWS experience (Lambda, Step Functions, CloudFront, S3, API Gateway, Fargate/EKS, DynamoDB).

2+ years of SRE responsibilities (monitoring, reliability engineering, incident management).

Experience using AI‑assisted engineering tools or demonstrable ability to learn and adopt AI‑led delivery practices.

Core Competencies

Strong analytical and problem‑solving skills, especially in large and complex legacy systems.

Experience refactoring, upgrading, and unit testing applications.

Understanding of both Waterfall and Agile development methodologies.

Strong communication and collaboration skills, with the ability to partner effectively across engineering and business teams.

Interest in or experience using AI-assisted delivery frameworks and intelligent automation.

Preferences:

Experience with API documentation tools (e.g., SwaggerHub).

Exposure to DevSecOps, CI/CD automation, and release pipelines.

Experience mentoring developers and promoting engineering best practices.

Experience with modernization patterns for monolithic .NET or legacy distributed systems.

Familiarity with AI-driven observability, automated testing, or code‑generation tools.

Core Competencies:

Strong verbal and written communication skills.

Excellent analytical, estimation, and problem‑solving abilities.

Ability to translate business needs into technical solutions.

Proven ability to plan, prioritize, and execute in a fast‑paced environment.

Team‑oriented mindset with a passion for continuous learning and improvement.

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